Streamline Hex data analysis with an AI conversational interface
Swiftask adds a conversational layer to your Hex notebooks. Ask questions about your data and get instant, accurate answers directly within your workflow.
Result:
Reduce data exploration time and democratize data access for your entire organization.
AI Agents
hex
Connector hex · Secure OAuth 2.0
Data exploration in Hex can be slow and technically demanding
While Hex is an incredibly powerful tool for data scientists, rapid exploration of complex datasets often requires manual adjustments to SQL or Python code. This technical barrier hinders decision-making and limits data access for non-technical stakeholders.
Main negative impacts:
Technical bottlenecks
Analysts are constantly interrupted to update code for ad-hoc requests, creating a significant dependency.
High exploration time
Navigating between code cells and visualizations to find a specific answer is time-consuming.
Knowledge silos
Complex analysis results are not easily actionable for decision-makers who lack coding skills.
Swiftask turns your Hex notebook into a conversational application. Query your data models in natural language and let the AI execute the necessary queries for you.
BEFORE / AFTER
What changes with Swiftask
The traditional approach
A manager asks for a specific customer segment. The data analyst must open the Hex notebook, modify SQL filters, re-run cells, adjust the chart, and export results. This process takes 30+ minutes.
The Swiftask + Hex experience
The manager asks the question directly in the conversational interface connected to Hex. Swiftask identifies variables, executes the required code, and displays the updated result or chart in seconds.
Deploy your conversational interface in 4 steps
1
STEP 1 : Connect Hex to Swiftask
Use your Hex workspace API keys to establish a secure connection with your Swiftask AI agent.
2
STEP 2 : Define agent capabilities
Configure which code blocks or datasets your AI agent is authorized to query and manipulate within Hex.
3
STEP 3 : Configure natural language
Train the agent on your data context so it understands business jargon and frequent queries.
4
STEP 4 : Launch the interface
Embed the conversational widget into your Hex apps or use it directly from the Swiftask interface for daily explorations.
Advanced agent capabilities
The agent analyzes your table metadata and Hex cell structure to generate precise, executable code.
- Target connector: The agent performs the right actions in hex based on event context.
- Automated actions: Execute SQL/Python queries, filter DataFrames, generate dynamic visualizations, summarize trends, and export results in CSV/JSON format.
- Native governance: Security first: the agent can only access explicitly authorized Hex resources.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-hex@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Key benefits of this integration
Faster decision-making
Get data-driven answers in seconds instead of hours.
Data democratization
Enable business teams to query data without writing a single line of code.
Reduced IT backlog
Fewer ad-hoc tickets for data analysts, who can focus on strategic, complex projects.
Enhanced interactivity
Transform static reports into living, dialogue-driven tools.
Consistent results
The AI uses the same data definitions as your reference notebooks.
Privacy and control
Swiftask applies enterprise-grade security standards for your hex automations.
- Encrypted access: Secure communication between Swiftask and Hex API via dedicated tokens.
- Granular control: You choose exactly which notebooks are accessible via the conversational interface.
- Audit and logs: Every question asked and query executed is logged within Swiftask.
- GDPR compliant: Your data remains in your Hex infrastructure; Swiftask acts only as a command interface.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on data productivity
| Metric | Before | After |
|---|---|---|
| Query response time | 30-60 minutes | Under 30 seconds |
| Accessibility for non-coders | Low | Full |
| Analyst workload | High (ad-hoc) | Optimized (strategic) |
Take action with hex
Reduce data exploration time and democratize data access for your entire organization.